The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Nov. 04, 2025
Filed:
Jun. 16, 2022
Robert Bosch Gmbh, Stuttgart, DE;
Filipe J. Cabrita Condessa, Pittsburgh, PA (US);
Devin T. Willmott, Pittsburgh, PA (US);
Ivan Batalov, Pittsburgh, PA (US);
João D. Semedo, Pittsburgh, PA (US);
Wan-Yi Lin, Wexford, PA (US);
Jeremy Kolter, Pittsburgh, PA (US);
Jeffrey Thompson, Stuttgart, DE;
Robert Bosch GmbH, , DE;
Abstract
Methods and systems for training a machine learning model with measurement data captured during a manufacturing process. Measurement data regarding a physical characteristic of a plurality of manufactured parts is received as measured by a plurality of sensors at various manufacturing stations. A time-series dynamics machine learning model encodes the measurement data into a latent space having a plurality of nodes. Each node is associated with the measurement data of one of the manufactured parts and at one of the manufacturing stations. A batch of the measurement data can be built, the batch include a first node and a first plurality of nodes immediately connected to the first node via first edges, and measured in time earlier than the first node. A prediction machine learning model can predict measurements of a first of the manufactured parts based on the latent space of the batch of nodes.